Senior Data Engineer
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Key skills for this role
About the Role
Seeking a Senior Data Engineer to own the complete data lifecycle, from ingestion to analytics, in a fully remote, high-growth environment. You will design scalable data platforms using cloud technologies and AI-powered tools, collaborating with cross-functional teams.
Key Skills for This Role
Responsibilities
- Design, build, and maintain scalable data pipelines from source systems through data warehouses and analytics platforms.
- Develop and optimize data ingestion workflows using cloud native technologies, orchestration tools, and Python based data loaders.
- Create and maintain reliable data models that enable accurate reporting, business intelligence, and self service analytics.
- Deliver actionable analyses that explain business performance and support strategic decision making.
- Build data infrastructure with scalability, reliability, performance, and cost optimization as core design principles.
- Manage infrastructure as code to ensure consistent, automated deployment and maintenance of the data platform.
- Partner closely with product, finance, growth, and engineering teams to translate business questions into trusted data solutions.
- Leverage AI powered development tools to improve engineering productivity while maintaining full ownership of production quality.
- Monitor, troubleshoot, and continuously improve data pipelines and platform performance.
- Stay current with emerging technologies and best practices in data engineering, cloud infrastructure, and artificial intelligence.
Requirements
- 5+ years of experience designing, building, and operating production grade data pipelines and modern data platforms.
- Strong expertise with cloud data technologies such as Google Cloud Platform, BigQuery, dbt, Airflow, Dataflow, or equivalent solutions.
- Experience with infrastructure as code using tools such as Pulumi or Terraform.
- Advanced SQL skills and proficiency in Python for data engineering and automation.
- Experience working with analytics platforms and transforming complex datasets into business insights.
- Familiarity with AI assisted development tools and an understanding of how to apply them responsibly within engineering workflows.
- Strong analytical thinking with the ability to identify root causes behind business metrics and performance changes.
- Excellent communication skills with the ability to collaborate effectively across technical and non technical teams.
- Comfortable working independently in a fast paced, remote first environment with a high level of ownership.
- Passion for scalable data engineering, continuous learning, and building reliable systems that support business growth.
Full Job Posting
Overview
- As a Senior Data Engineer, you will own the complete data lifecycle, from ingestion and infrastructure to modeling, analytics, and business insights.
- Working in a fully remote, high growth environment, you will design scalable data platforms that support strategic decision making across product, finance, and growth teams.
- This role offers the opportunity to build resilient, production grade data systems while leveraging modern cloud technologies and AI powered development tools.
Accountabilities
- Design, build, and maintain scalable data pipelines from source systems through data warehouses and analytics platforms.
- Develop and optimize data ingestion workflows using cloud native technologies, orchestration tools, and Python based data loaders.
- Create and maintain reliable data models that enable accurate reporting, business intelligence, and self service analytics.
- Deliver actionable analyses that explain business performance and support strategic decision making.
- Build data infrastructure with scalability, reliability, performance, and cost optimization as core design principles.
- Manage infrastructure as code to ensure consistent, automated deployment and maintenance of the data platform.
- Partner closely with product, finance, growth, and engineering teams to translate business questions into trusted data solutions.
- Leverage AI powered development tools to improve engineering productivity while maintaining full ownership of production quality.
- Monitor, troubleshoot, and continuously improve data pipelines and platform performance.
- Stay current with emerging technologies and best practices in data engineering, cloud infrastructure, and artificial intelligence.
Requirements
- 5+ years of experience designing, building, and operating production grade data pipelines and modern data platforms.
- Strong expertise with cloud data technologies such as Google Cloud Platform, BigQuery, dbt, Airflow, Dataflow, or equivalent solutions.
- Experience with infrastructure as code using tools such as Pulumi or Terraform.
- Advanced SQL skills and proficiency in Python for data engineering and automation.
- Experience working with analytics platforms and transforming complex datasets into business insights.
- Familiarity with AI assisted development tools and an understanding of how to apply them responsibly within engineering workflows.
- Strong analytical thinking with the ability to identify root causes behind business metrics and performance changes.
- Excellent communication skills with the ability to collaborate effectively across technical and non technical teams.
- Comfortable working independently in a fast paced, remote first environment with a high level of ownership.
- Passion for scalable data engineering, continuous learning, and building reliable systems that support business growth.
Benefits
- Fully remote position with the flexibility to work from anywhere.
- Co working space membership or allowance to support your preferred work environment.
- Equity participation through an employee stock ownership program (ESOP).
- Technology allowance to build your ideal home office setup.
- Comprehensive health insurance, including full employee coverage and substantial dependent coverage.
- Flexible, asynchronous work schedule that promotes autonomy and work life balance.
- Annual professional development budget for courses, conferences, books, and learning resources.
- Annual company off site events that bring together global team members for collaboration and networking.
- Opportunity to work with modern cloud technologies, large scale data systems, and cutting edge AI tools.
- Collaborative, international environment focused on innovation, ownership, and continuous growth.
How Jobgether Works
- We use an AI powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements.
- Our system identifies the top fitting candidates, and this shortlist is then shared directly with the hiring company.
- The final decision and next steps (interviews, assessments) are managed by their internal team.
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